Deep Reinforcement Learning for UAV Trajectory Design Considering Mobile Ground Users

A network composed of unmanned aerial vehicles (UAVs), serving as base stations (UAV-BS network), is emerging as a promising component in next-generation communication systems. In the UAV-BS network, the optimal positioning of a UAV-BS is an essential requirement to establish line-of-sight (LoS) lin...

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發表在:	Sensors
Main Authors:	Wonseok Lee, Young Jeon, Taejoon Kim, Young-Il Kim
格式:	Article
語言:	英语
出版:	MDPI AG 2021-12-01
主題:	unmanned aerial vehicles reinforcement learning trajectory optimization
在線閱讀:	https://www.mdpi.com/1424-8220/21/24/8239